Note: The job is a remote job and is open to candidates in USA. XM is expanding its team and is hiring Senior AI Engineers with a focus on Generative AI and agentic AI to build and scale next-generation AI applications. The role involves creating innovative applications that leverage GenAI technologies, as well as collaborating with cross-functional teams to deliver robust solutions.
Responsibilities
- Design, develop, and maintain intelligent backend systems that combine LLMs, retrieval systems, and custom APIs, ensuring high performance, scalability, and reliability
- Participate in team discussions and conduct code reviews, ensuring high standards for GenAI applications’ code quality, security, maintainability, and best practices (testing, CI/CD, observability, documentation)
- Stay up to date with generative AI trends by proposing, researching, and integrating new technologies (e.g. vector databases, agent frameworks, LLM observability tools) to enhance AI capabilities
- Collaborate cross-functionally with front-end developers, data scientists, and product managers to define requirements and design and deliver robust end-to-end solutions
- Monitor and improve existing AI systems, identifying opportunities for optimization, cost efficiency, and performance enhancement
Skills
- BSc/MSc in Computer Science, Engineering, or a related field
- 5+ years of professional experience in backend development using Golang (preferred), Java, or Python
- 2+ years of hands-on experience developing and deploying production GenAI applications
- Strong understanding of vector databases and semantic retrieval techniques
- Practical experience with LLMs and prompt engineering, including the use of APIs and tools
- Experience with agentic architectures and AI orchestration frameworks, such as LangChain, Genkit, or similar tools
- Solid understanding of the full software development life cycle, including CI/CD pipelines, testing, and deployment on Cloud
- Experience working in cross-functional teams, collaborating with product and program managers to deliver features on time and with high quality
- Experience optimizing, monitoring, and testing LLM-based applications
- Genuine passion for emerging GenAI technologies and innovation in the AI field
- Strong teamwork and collaboration skills, with a proactive and solution-oriented mindset
- Commitment to continuous learning
- Experience with AWS Cloud Services (e.g. EC2, S3, SQS)
- Knowledge of LLM observability frameworks (e.g. LangFuse) and tracing tools
- Experience building pipelines for model evaluation, feedback collection, and continuous improvement of LLM-based systems
- Work portfolio of open-source contributions, side projects, or technical blogs showcasing AI or backend engineering expertise
Benefits
- Attractive remuneration package
- Intellectually stimulating work environment
- Continuous personal development and international training opportunities
- Attractive relocation package and support for a smooth relocation for you and your family
Company Overview